Ao Huang, Shu-Bo Wen, Qian-Qian Kong, Zhen-Min Zhao, Xi-Ling Liu
{"title":"全血和血迹的蛋白质组差异分析","authors":"Ao Huang, Shu-Bo Wen, Qian-Qian Kong, Zhen-Min Zhao, Xi-Ling Liu","doi":"10.12116/j.issn.1004-5619.2022.521204","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To study the changes of protein levels in peripheral blood after it dried.</p><p><strong>Methods: </strong>The proteins from whole blood and bloodstains were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and normalized by the label-free quantification (LFQ) method. The differential proteins were analyzed by using R 4.2.1 software, limma and edgeR package. The analysis of biological function, signaling pathway and subcellular localization for the differential proteins was then performed.</p><p><strong>Results: </strong>A total of 623 and 596 proteins were detected in whole blood and bloodstains, respectively, of which 31 were statistically significant in the quantitative results, including 10 up-regulated and 21 down-regulated proteins in bloodstains.</p><p><strong>Conclusions: </strong>The protein abundances in whole blood and bloodstains are highly correlated, and the variation of protein abundances may be related to the changes of endogenous and structural proteins in cells. The application of proteomics technology can assist the screening and identification of protein biomarkers, thereby introducing new biomarkers for forensic research.</p>","PeriodicalId":15899,"journal":{"name":"Journal of Forensic Medicine","volume":"39 6","pages":"549-556"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proteomic Difference Analysis of Whole Blood and Bloodstains.\",\"authors\":\"Ao Huang, Shu-Bo Wen, Qian-Qian Kong, Zhen-Min Zhao, Xi-Ling Liu\",\"doi\":\"10.12116/j.issn.1004-5619.2022.521204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To study the changes of protein levels in peripheral blood after it dried.</p><p><strong>Methods: </strong>The proteins from whole blood and bloodstains were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and normalized by the label-free quantification (LFQ) method. The differential proteins were analyzed by using R 4.2.1 software, limma and edgeR package. The analysis of biological function, signaling pathway and subcellular localization for the differential proteins was then performed.</p><p><strong>Results: </strong>A total of 623 and 596 proteins were detected in whole blood and bloodstains, respectively, of which 31 were statistically significant in the quantitative results, including 10 up-regulated and 21 down-regulated proteins in bloodstains.</p><p><strong>Conclusions: </strong>The protein abundances in whole blood and bloodstains are highly correlated, and the variation of protein abundances may be related to the changes of endogenous and structural proteins in cells. The application of proteomics technology can assist the screening and identification of protein biomarkers, thereby introducing new biomarkers for forensic research.</p>\",\"PeriodicalId\":15899,\"journal\":{\"name\":\"Journal of Forensic Medicine\",\"volume\":\"39 6\",\"pages\":\"549-556\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Forensic Medicine\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.12116/j.issn.1004-5619.2022.521204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forensic Medicine","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.12116/j.issn.1004-5619.2022.521204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proteomic Difference Analysis of Whole Blood and Bloodstains.
Objectives: To study the changes of protein levels in peripheral blood after it dried.
Methods: The proteins from whole blood and bloodstains were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and normalized by the label-free quantification (LFQ) method. The differential proteins were analyzed by using R 4.2.1 software, limma and edgeR package. The analysis of biological function, signaling pathway and subcellular localization for the differential proteins was then performed.
Results: A total of 623 and 596 proteins were detected in whole blood and bloodstains, respectively, of which 31 were statistically significant in the quantitative results, including 10 up-regulated and 21 down-regulated proteins in bloodstains.
Conclusions: The protein abundances in whole blood and bloodstains are highly correlated, and the variation of protein abundances may be related to the changes of endogenous and structural proteins in cells. The application of proteomics technology can assist the screening and identification of protein biomarkers, thereby introducing new biomarkers for forensic research.